Compare Results of Retrieval Processes

The Google search engine was extremely fast and is the process I have used most over the last ten years. However, Google provided 154,000,000 results for medical home which is an incomprehensible number. As I looked at the first few citations, it was interesting how the article we read came to life. One that sounded really good by title was truly an advertising site for electronic training modules and appeared very biased once I looked at the source. the PubMed searches, though broad in the first steps, did reduce the number of credible sources in just four steps total. I did apply MeSH terms, Limits of date terms and added on operational term, "AND cost" to further reduce the search to a much more manageable as well as relevant citation listing. PubMed provided a context relevant option that seemed similar to the automatic concept mapping in NGC that matches terms against a standard table derived from the U.S. National Library of Medicine. When I applied the matching terms, my citations dropped from 25,000 to 1537 in one simple step. I did not apply the use of quotes to locate guidelines bu will need to do that this week for another class. The ability to store these citations for later retrieval is invaluable to me. Though I expect to get faster with practice, I also expect to glean more pertinent information.